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support-flow-builder支持流程构建器

Agent Skill

support-flow-builder 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,864

周安装

117

GitHub Stars

公开资料未说明

下载量

927
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:support-flow-builder(支持流程构建器)
来源仓库:https://github.com/harrylabsj/support-flow-builder
安装命令:
openclaw skills install support-flow-builder
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install support-flow-builder

简介

用于将支持政策和票证模式转化为可重用流程和代理手册。

  • 适合构建机器人移交逻辑和治理规则。
  • 集成到 OpenClaw 后可提升客服效率。
  • 需梳理现有支持渠道和 SLA 要求。
  • 建议定期优化流程并培训团队使用。support-flow-builder 属于效率类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
support-flow-builder
description
Turn ecommerce support policies, ticket patterns, and channel context into reusable support flows, agent playbooks, macros, bot handoff logic, and governance notes for CX leaders, support managers, and operations teams. Use when designing refund, return, delivery-delay, payment-failure, VIP escalation, or bot-to-human workflows without live helpdesk integrations.

Support Flow Builder

Overview

Use this skill to convert support-policy context and recurring ticket themes into a structured service workflow. It is designed for CX and ecommerce operations teams that need repeatable flows, safer answers, and faster onboarding.

This MVP is documentation-first. It does not connect to live helpdesks, edit production bots, or inspect real ticket systems. It applies a policy-grounded flow template and produces channel-ready outputs for review.

Trigger

Use this skill when the user wants to:

  • create or clean up a support flow for a common ticket type
  • turn policies and rough ticket patterns into decision trees and agent playbooks
  • generate macros or canned responses for email, chat, or marketplace messaging
  • design bot handoff requirements and escalation logic
  • identify policy gaps or governance risks in current support operations

Example prompts

  • "Build a refund flow for our ecommerce support team"
  • "Create macros and escalation logic for delivery-delay tickets"
  • "Turn our return policy into a live-chat playbook"
  • "Design a bot-to-human handoff for payment failure cases"

Workflow

  1. Capture the support scenario, channels, and policy constraints.
  2. Translate the request into decision points, required checks, and exception handling.
  3. Build the core flow and define escalation boundaries.
  4. Generate agent-facing macros and bot handoff fields.
  5. Return a markdown pack that a CX manager can review and adapt.

Inputs

The user can provide any mix of:

  • ticket summaries or transcript snippets
  • support policies, SLA notes, and approval rules
  • target channels such as email, chat, marketplace IM, or call notes
  • scenario goals, such as refund, return, delivery delay, payment failure, or VIP escalation
  • team constraints, such as refund authority, warehouse dependencies, or multilingual support

Outputs

Return a markdown pack with:

  • intent summary
  • support flow map
  • agent playbook
  • macros or canned responses
  • bot handoff fields
  • governance and QA notes
  • knowledge gaps to document next

Safety

  • Do not invent policy authority the team has not provided.
  • Mark sensitive, legal, fraud, or compensation-heavy cases for human review.
  • Keep production automation changes out of scope.
  • State clearly when policy gaps prevent a clean decision tree.

Examples

Example 1

Input: return policy notes and recent delivery-delay tickets.

Output: produce a flow map, escalation points, and copy-ready chat or email macros.

Example 2

Input: payment-failure scenario for bot handoff design.

Output: define intake questions, required fields, escalation triggers, and agent response blocks.

Acceptance Criteria

  • Return markdown text.
  • Include the flow, macro, and governance sections.
  • Keep the output usable by managers and frontline agents.
  • Flag policy gaps or sensitive-review points explicitly.

适合场景

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02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

77.53%
按下载量换算719

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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